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| # Ultralytics YOLO 🚀, AGPL-3.0 license | |
| site_name: Ultralytics YOLOv8 Docs | |
| site_url: https://docs.ultralytics.com | |
| site_description: Explore Ultralytics YOLOv8, a cutting-edge real-time object detection and image segmentation model for various applications and hardware platforms. | |
| site_author: Ultralytics | |
| repo_url: https://github.com/ultralytics/ultralytics | |
| edit_uri: https://github.com/ultralytics/ultralytics/tree/main/docs | |
| repo_name: ultralytics/ultralytics | |
| remote_name: https://github.com/ultralytics/docs | |
| theme: | |
| name: material | |
| language: en | |
| custom_dir: docs/overrides | |
| logo: https://github.com/ultralytics/assets/raw/main/logo/Ultralytics_Logotype_Reverse.svg | |
| favicon: assets/favicon.ico | |
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| # Customization | |
| copyright: <a href="https://ultralytics.com" target="_blank">© 2023 Ultralytics Inc.</a> All rights reserved. | |
| extra: | |
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| - name: English | |
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| lang: en | |
| - name: 简体中文 | |
| link: /zh/ | |
| lang: zh | |
| social: | |
| - icon: fontawesome/brands/github | |
| link: https://github.com/ultralytics | |
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| link: https://www.youtube.com/ultralytics | |
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| link: https://hub.docker.com/r/ultralytics/ultralytics/ | |
| - icon: fontawesome/brands/python | |
| link: https://pypi.org/project/ultralytics/ | |
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| link: https://ultralytics.com/discord | |
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| - stylesheets/style.css | |
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| markdown_extensions: | |
| # Div text decorators | |
| - admonition | |
| - md_in_html | |
| - pymdownx.details | |
| - pymdownx.superfences | |
| - tables | |
| - attr_list | |
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| # Syntax highlight | |
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| anchor_linenums: true | |
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| - pymdownx.snippets: | |
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| # Primary navigation --------------------------------------------------------------------------------------------------- | |
| nav: | |
| - Home: | |
| - Home: index.md | |
| - Quickstart: quickstart.md | |
| - Modes: | |
| - modes/index.md | |
| - Train: modes/train.md | |
| - Val: modes/val.md | |
| - Predict: modes/predict.md | |
| - Export: modes/export.md | |
| - Track: modes/track.md | |
| - Benchmark: modes/benchmark.md | |
| - Tasks: | |
| - tasks/index.md | |
| - Detect: tasks/detect.md | |
| - Segment: tasks/segment.md | |
| - Classify: tasks/classify.md | |
| - Pose: tasks/pose.md | |
| - Ultralytics 文档: | |
| - zh/index.md | |
| - Quickstart: quickstart.md | |
| - Modes: | |
| - modes/index.md | |
| - Train: modes/train.md | |
| - Val: modes/val.md | |
| - Predict: modes/predict.md | |
| - Export: modes/export.md | |
| - Track: modes/track.md | |
| - Benchmark: modes/benchmark.md | |
| - Tasks: | |
| - tasks/index.md | |
| - Detect: tasks/detect.md | |
| - Segment: tasks/segment.md | |
| - Classify: tasks/classify.md | |
| - Pose: tasks/pose.md | |
| - Models: | |
| - models/index.md | |
| - YOLOv3: models/yolov3.md | |
| - YOLOv4: models/yolov4.md | |
| - YOLOv5: models/yolov5.md | |
| - YOLOv6: models/yolov6.md | |
| - YOLOv7: models/yolov7.md | |
| - YOLOv8: models/yolov8.md | |
| - SAM (Segment Anything Model): models/sam.md | |
| - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md | |
| - FastSAM (Fast Segment Anything Model): models/fast-sam.md | |
| - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md | |
| - RT-DETR (Realtime Detection Transformer): models/rtdetr.md | |
| - Datasets: | |
| - datasets/index.md | |
| - Detection: | |
| - datasets/detect/index.md | |
| - Argoverse: datasets/detect/argoverse.md | |
| - COCO: datasets/detect/coco.md | |
| - COCO8: datasets/detect/coco8.md | |
| - GlobalWheat2020: datasets/detect/globalwheat2020.md | |
| - Objects365: datasets/detect/objects365.md | |
| - OpenImagesV7: datasets/detect/open-images-v7.md | |
| - SKU-110K: datasets/detect/sku-110k.md | |
| - VisDrone: datasets/detect/visdrone.md | |
| - VOC: datasets/detect/voc.md | |
| - xView: datasets/detect/xview.md | |
| - Segmentation: | |
| - datasets/segment/index.md | |
| - COCO: datasets/segment/coco.md | |
| - COCO8-seg: datasets/segment/coco8-seg.md | |
| - Pose: | |
| - datasets/pose/index.md | |
| - COCO: datasets/pose/coco.md | |
| - COCO8-pose: datasets/pose/coco8-pose.md | |
| - Tiger-pose: datasets/pose/tiger-pose.md | |
| - Classification: | |
| - datasets/classify/index.md | |
| - Caltech 101: datasets/classify/caltech101.md | |
| - Caltech 256: datasets/classify/caltech256.md | |
| - CIFAR-10: datasets/classify/cifar10.md | |
| - CIFAR-100: datasets/classify/cifar100.md | |
| - Fashion-MNIST: datasets/classify/fashion-mnist.md | |
| - ImageNet: datasets/classify/imagenet.md | |
| - ImageNet-10: datasets/classify/imagenet10.md | |
| - Imagenette: datasets/classify/imagenette.md | |
| - Imagewoof: datasets/classify/imagewoof.md | |
| - MNIST: datasets/classify/mnist.md | |
| - Oriented Bounding Boxes (OBB): | |
| - datasets/obb/index.md | |
| - DOTAv2: datasets/obb/dota-v2.md | |
| - Multi-Object Tracking: | |
| - datasets/track/index.md | |
| - Guides: | |
| - guides/index.md | |
| - YOLO Common Issues: guides/yolo-common-issues.md | |
| - YOLO Performance Metrics: guides/yolo-performance-metrics.md | |
| - YOLO Thread-Safe Inference: guides/yolo-thread-safe-inference.md | |
| - Model Deployment Options: guides/model-deployment-options.md | |
| - K-Fold Cross Validation: guides/kfold-cross-validation.md | |
| - Hyperparameter Tuning: guides/hyperparameter-tuning.md | |
| - SAHI Tiled Inference: guides/sahi-tiled-inference.md | |
| - AzureML Quickstart: guides/azureml-quickstart.md | |
| - Conda Quickstart: guides/conda-quickstart.md | |
| - Docker Quickstart: guides/docker-quickstart.md | |
| - Raspberry Pi: guides/raspberry-pi.md | |
| - Triton Inference Server: guides/triton-inference-server.md | |
| - Integrations: | |
| - integrations/index.md | |
| - OpenVINO: integrations/openvino.md | |
| - Ray Tune: integrations/ray-tune.md | |
| - Roboflow: integrations/roboflow.md | |
| - MLflow: integrations/mlflow.md | |
| - Usage: | |
| - CLI: usage/cli.md | |
| - Python: usage/python.md | |
| - Callbacks: usage/callbacks.md | |
| - Configuration: usage/cfg.md | |
| - Advanced Customization: usage/engine.md | |
| - YOLOv5: | |
| - yolov5/index.md | |
| - Quickstart: yolov5/quickstart_tutorial.md | |
| - Environments: | |
| - Amazon Web Services (AWS): yolov5/environments/aws_quickstart_tutorial.md | |
| - Google Cloud (GCP): yolov5/environments/google_cloud_quickstart_tutorial.md | |
| - AzureML: yolov5/environments/azureml_quickstart_tutorial.md | |
| - Docker Image: yolov5/environments/docker_image_quickstart_tutorial.md | |
| - Tutorials: | |
| - Train Custom Data: yolov5/tutorials/train_custom_data.md | |
| - Tips for Best Training Results: yolov5/tutorials/tips_for_best_training_results.md | |
| - Multi-GPU Training: yolov5/tutorials/multi_gpu_training.md | |
| - PyTorch Hub: yolov5/tutorials/pytorch_hub_model_loading.md | |
| - TFLite, ONNX, CoreML, TensorRT Export: yolov5/tutorials/model_export.md | |
| - NVIDIA Jetson Nano Deployment: yolov5/tutorials/running_on_jetson_nano.md | |
| - Test-Time Augmentation (TTA): yolov5/tutorials/test_time_augmentation.md | |
| - Model Ensembling: yolov5/tutorials/model_ensembling.md | |
| - Pruning/Sparsity Tutorial: yolov5/tutorials/model_pruning_and_sparsity.md | |
| - Hyperparameter evolution: yolov5/tutorials/hyperparameter_evolution.md | |
| - Transfer learning with frozen layers: yolov5/tutorials/transfer_learning_with_frozen_layers.md | |
| - Architecture Summary: yolov5/tutorials/architecture_description.md | |
| - Roboflow Datasets: yolov5/tutorials/roboflow_datasets_integration.md | |
| - Neural Magic's DeepSparse: yolov5/tutorials/neural_magic_pruning_quantization.md | |
| - Comet Logging: yolov5/tutorials/comet_logging_integration.md | |
| - Clearml Logging: yolov5/tutorials/clearml_logging_integration.md | |
| - HUB: | |
| - hub/index.md | |
| - Quickstart: hub/quickstart.md | |
| - Datasets: hub/datasets.md | |
| - Projects: hub/projects.md | |
| - Models: hub/models.md | |
| - Integrations: hub/integrations.md | |
| - Ultralytics HUB App: | |
| - hub/app/index.md | |
| - 'iOS': hub/app/ios.md | |
| - 'Android': hub/app/android.md | |
| - Inference API: hub/inference_api.md | |
| - Reference: | |
| - cfg: | |
| - __init__: reference/cfg/__init__.md | |
| - data: | |
| - annotator: reference/data/annotator.md | |
| - augment: reference/data/augment.md | |
| - base: reference/data/base.md | |
| - build: reference/data/build.md | |
| - converter: reference/data/converter.md | |
| - dataset: reference/data/dataset.md | |
| - loaders: reference/data/loaders.md | |
| - utils: reference/data/utils.md | |
| - engine: | |
| - exporter: reference/engine/exporter.md | |
| - model: reference/engine/model.md | |
| - predictor: reference/engine/predictor.md | |
| - results: reference/engine/results.md | |
| - trainer: reference/engine/trainer.md | |
| - tuner: reference/engine/tuner.md | |
| - validator: reference/engine/validator.md | |
| - hub: | |
| - __init__: reference/hub/__init__.md | |
| - auth: reference/hub/auth.md | |
| - session: reference/hub/session.md | |
| - utils: reference/hub/utils.md | |
| - models: | |
| - fastsam: | |
| - model: reference/models/fastsam/model.md | |
| - predict: reference/models/fastsam/predict.md | |
| - prompt: reference/models/fastsam/prompt.md | |
| - utils: reference/models/fastsam/utils.md | |
| - val: reference/models/fastsam/val.md | |
| - nas: | |
| - model: reference/models/nas/model.md | |
| - predict: reference/models/nas/predict.md | |
| - val: reference/models/nas/val.md | |
| - rtdetr: | |
| - model: reference/models/rtdetr/model.md | |
| - predict: reference/models/rtdetr/predict.md | |
| - train: reference/models/rtdetr/train.md | |
| - val: reference/models/rtdetr/val.md | |
| - sam: | |
| - amg: reference/models/sam/amg.md | |
| - build: reference/models/sam/build.md | |
| - model: reference/models/sam/model.md | |
| - modules: | |
| - decoders: reference/models/sam/modules/decoders.md | |
| - encoders: reference/models/sam/modules/encoders.md | |
| - sam: reference/models/sam/modules/sam.md | |
| - tiny_encoder: reference/models/sam/modules/tiny_encoder.md | |
| - transformer: reference/models/sam/modules/transformer.md | |
| - predict: reference/models/sam/predict.md | |
| - utils: | |
| - loss: reference/models/utils/loss.md | |
| - ops: reference/models/utils/ops.md | |
| - yolo: | |
| - classify: | |
| - predict: reference/models/yolo/classify/predict.md | |
| - train: reference/models/yolo/classify/train.md | |
| - val: reference/models/yolo/classify/val.md | |
| - detect: | |
| - predict: reference/models/yolo/detect/predict.md | |
| - train: reference/models/yolo/detect/train.md | |
| - val: reference/models/yolo/detect/val.md | |
| - model: reference/models/yolo/model.md | |
| - pose: | |
| - predict: reference/models/yolo/pose/predict.md | |
| - train: reference/models/yolo/pose/train.md | |
| - val: reference/models/yolo/pose/val.md | |
| - segment: | |
| - predict: reference/models/yolo/segment/predict.md | |
| - train: reference/models/yolo/segment/train.md | |
| - val: reference/models/yolo/segment/val.md | |
| - nn: | |
| - autobackend: reference/nn/autobackend.md | |
| - modules: | |
| - block: reference/nn/modules/block.md | |
| - conv: reference/nn/modules/conv.md | |
| - head: reference/nn/modules/head.md | |
| - transformer: reference/nn/modules/transformer.md | |
| - utils: reference/nn/modules/utils.md | |
| - tasks: reference/nn/tasks.md | |
| - trackers: | |
| - basetrack: reference/trackers/basetrack.md | |
| - bot_sort: reference/trackers/bot_sort.md | |
| - byte_tracker: reference/trackers/byte_tracker.md | |
| - track: reference/trackers/track.md | |
| - utils: | |
| - gmc: reference/trackers/utils/gmc.md | |
| - kalman_filter: reference/trackers/utils/kalman_filter.md | |
| - matching: reference/trackers/utils/matching.md | |
| - utils: | |
| - __init__: reference/utils/__init__.md | |
| - autobatch: reference/utils/autobatch.md | |
| - benchmarks: reference/utils/benchmarks.md | |
| - callbacks: | |
| - base: reference/utils/callbacks/base.md | |
| - clearml: reference/utils/callbacks/clearml.md | |
| - comet: reference/utils/callbacks/comet.md | |
| - dvc: reference/utils/callbacks/dvc.md | |
| - hub: reference/utils/callbacks/hub.md | |
| - mlflow: reference/utils/callbacks/mlflow.md | |
| - neptune: reference/utils/callbacks/neptune.md | |
| - raytune: reference/utils/callbacks/raytune.md | |
| - tensorboard: reference/utils/callbacks/tensorboard.md | |
| - wb: reference/utils/callbacks/wb.md | |
| - checks: reference/utils/checks.md | |
| - dist: reference/utils/dist.md | |
| - downloads: reference/utils/downloads.md | |
| - errors: reference/utils/errors.md | |
| - files: reference/utils/files.md | |
| - instance: reference/utils/instance.md | |
| - loss: reference/utils/loss.md | |
| - metrics: reference/utils/metrics.md | |
| - ops: reference/utils/ops.md | |
| - patches: reference/utils/patches.md | |
| - plotting: reference/utils/plotting.md | |
| - tal: reference/utils/tal.md | |
| - torch_utils: reference/utils/torch_utils.md | |
| - triton: reference/utils/triton.md | |
| - tuner: reference/utils/tuner.md | |
| - Help: | |
| - Help: help/index.md | |
| - Frequently Asked Questions (FAQ): help/FAQ.md | |
| - Contributing Guide: help/contributing.md | |
| - Continuous Integration (CI) Guide: help/CI.md | |
| - Contributor License Agreement (CLA): help/CLA.md | |
| - Minimum Reproducible Example (MRE) Guide: help/minimum_reproducible_example.md | |
| - Code of Conduct: help/code_of_conduct.md | |
| - Environmental, Health and Safety (EHS) Policy: help/environmental-health-safety.md | |
| - Security Policy: SECURITY.md | |
| - Privacy Policy: help/privacy.md | |
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| callbacks.md: usage/callbacks.md | |
| cfg.md: usage/cfg.md | |
| cli.md: usage/cli.md | |
| config.md: usage/cfg.md | |
| engine.md: usage/engine.md | |
| environments/AWS-Quickstart.md: yolov5/environments/aws_quickstart_tutorial.md | |
| environments/Docker-Quickstart.md: yolov5/environments/docker_image_quickstart_tutorial.md | |
| environments/GCP-Quickstart.md: yolov5/environments/google_cloud_quickstart_tutorial.md | |
| FAQ/augmentation.md: yolov5/tutorials/tips_for_best_training_results.md | |
| package-framework.md: index.md | |
| package-framework/mock_detector.md: index.md | |
| predict.md: modes/predict.md | |
| python.md: usage/python.md | |
| quick-start.md: quickstart.md | |
| app.md: hub/app/index.md | |
| sdk.md: index.md | |
| usage/hyperparameter_tuning.md: integrations/ray-tune.md | |
| reference/base_pred.md: reference/engine/predictor.md | |
| reference/base_trainer.md: reference/engine/trainer.md | |
| reference/exporter.md: reference/engine/exporter.md | |
| reference/model.md: reference/engine/model.md | |
| reference/nn.md: reference/nn/modules/head.md | |
| reference/ops.md: reference/utils/ops.md | |
| reference/results.md: reference/engine/results.md | |
| reference/base_val.md: index.md | |
| tasks/classification.md: tasks/classify.md | |
| tasks/detection.md: tasks/detect.md | |
| tasks/segmentation.md: tasks/segment.md | |
| tasks/keypoints.md: tasks/pose.md | |
| tasks/tracking.md: modes/track.md | |
| tutorials/architecture-summary.md: yolov5/tutorials/architecture_description.md | |
| tutorials/clearml-logging.md: yolov5/tutorials/clearml_logging_integration.md | |
| tutorials/comet-logging.md: yolov5/tutorials/comet_logging_integration.md | |
| tutorials/hyperparameter-evolution.md: yolov5/tutorials/hyperparameter_evolution.md | |
| tutorials/model-ensembling.md: yolov5/tutorials/model_ensembling.md | |
| tutorials/multi-gpu-training.md: yolov5/tutorials/multi_gpu_training.md | |
| tutorials/nvidia-jetson.md: yolov5/tutorials/running_on_jetson_nano.md | |
| tutorials/pruning-sparsity.md: yolov5/tutorials/model_pruning_and_sparsity.md | |
| tutorials/pytorch-hub.md: yolov5/tutorials/pytorch_hub_model_loading.md | |
| tutorials/roboflow.md: yolov5/tutorials/roboflow_datasets_integration.md | |
| tutorials/test-time-augmentation.md: yolov5/tutorials/test_time_augmentation.md | |
| tutorials/torchscript-onnx-coreml-export.md: yolov5/tutorials/model_export.md | |
| tutorials/train-custom-datasets.md: yolov5/tutorials/train_custom_data.md | |
| tutorials/training-tips-best-results.md: yolov5/tutorials/tips_for_best_training_results.md | |
| tutorials/transfer-learning-froze-layers.md: yolov5/tutorials/transfer_learning_with_frozen_layers.md | |
| tutorials/weights-and-biasis-logging.md: yolov5/tutorials/comet_logging_integration.md | |
| yolov5/pytorch_hub.md: yolov5/tutorials/pytorch_hub_model_loading.md | |
| yolov5/hyp_evolution.md: yolov5/tutorials/hyperparameter_evolution.md | |
| yolov5/pruning_sparsity.md: yolov5/tutorials/model_pruning_and_sparsity.md | |
| yolov5/roboflow.md: yolov5/tutorials/roboflow_datasets_integration.md | |
| yolov5/comet.md: yolov5/tutorials/comet_logging_integration.md | |
| yolov5/clearml.md: yolov5/tutorials/clearml_logging_integration.md | |
| yolov5/tta.md: yolov5/tutorials/test_time_augmentation.md | |
| yolov5/multi_gpu_training.md: yolov5/tutorials/multi_gpu_training.md | |
| yolov5/ensemble.md: yolov5/tutorials/model_ensembling.md | |
| yolov5/jetson_nano.md: yolov5/tutorials/running_on_jetson_nano.md | |
| yolov5/transfer_learn_frozen.md: yolov5/tutorials/transfer_learning_with_frozen_layers.md | |
| yolov5/neural_magic.md: yolov5/tutorials/neural_magic_pruning_quantization.md | |
| yolov5/train_custom_data.md: yolov5/tutorials/train_custom_data.md | |
| yolov5/architecture.md: yolov5/tutorials/architecture_description.md | |
| yolov5/export.md: yolov5/tutorials/model_export.md | |
| yolov5/yolov5_quickstart_tutorial.md: yolov5/quickstart_tutorial.md | |
| yolov5/tips_for_best_training_results.md: yolov5/tutorials/tips_for_best_training_results.md | |
| yolov5/tutorials/yolov5_neural_magic_tutorial.md: yolov5/tutorials/neural_magic_pruning_quantization.md | |
| yolov5/tutorials/model_ensembling_tutorial.md: yolov5/tutorials/model_ensembling.md | |
| yolov5/tutorials/pytorch_hub_tutorial.md: yolov5/tutorials/pytorch_hub_model_loading.md | |
| yolov5/tutorials/yolov5_architecture_tutorial.md: yolov5/tutorials/architecture_description.md | |
| yolov5/tutorials/multi_gpu_training_tutorial.md: yolov5/tutorials/multi_gpu_training.md | |
| yolov5/tutorials/yolov5_pytorch_hub_tutorial.md: yolov5/tutorials/pytorch_hub_model_loading.md | |
| yolov5/tutorials/model_export_tutorial.md: yolov5/tutorials/model_export.md | |
| yolov5/tutorials/jetson_nano_tutorial.md: yolov5/tutorials/running_on_jetson_nano.md | |
| yolov5/tutorials/yolov5_model_ensembling_tutorial.md: yolov5/tutorials/model_ensembling.md | |
| yolov5/tutorials/roboflow_integration.md: yolov5/tutorials/roboflow_datasets_integration.md | |
| yolov5/tutorials/pruning_and_sparsity_tutorial.md: yolov5/tutorials/model_pruning_and_sparsity.md | |
| yolov5/tutorials/yolov5_transfer_learning_with_frozen_layers_tutorial.md: yolov5/tutorials/transfer_learning_with_frozen_layers.md | |
| yolov5/tutorials/transfer_learning_with_frozen_layers_tutorial.md: yolov5/tutorials/transfer_learning_with_frozen_layers.md | |
| yolov5/tutorials/yolov5_model_export_tutorial.md: yolov5/tutorials/model_export.md | |
| yolov5/tutorials/neural_magic_tutorial.md: yolov5/tutorials/neural_magic_pruning_quantization.md | |
| yolov5/tutorials/yolov5_clearml_integration_tutorial.md: yolov5/tutorials/clearml_logging_integration.md | |
| yolov5/tutorials/yolov5_train_custom_data.md: yolov5/tutorials/train_custom_data.md | |
| yolov5/tutorials/comet_integration_tutorial.md: yolov5/tutorials/comet_logging_integration.md | |
| yolov5/tutorials/yolov5_pruning_and_sparsity_tutorial.md: yolov5/tutorials/model_pruning_and_sparsity.md | |
| yolov5/tutorials/yolov5_jetson_nano_tutorial.md: yolov5/tutorials/running_on_jetson_nano.md | |
| yolov5/tutorials/yolov5_roboflow_integration.md: yolov5/tutorials/roboflow_datasets_integration.md | |
| yolov5/tutorials/hyperparameter_evolution_tutorial.md: yolov5/tutorials/hyperparameter_evolution.md | |
| yolov5/tutorials/yolov5_hyperparameter_evolution_tutorial.md: yolov5/tutorials/hyperparameter_evolution.md | |
| yolov5/tutorials/clearml_integration_tutorial.md: yolov5/tutorials/clearml_logging_integration.md | |
| yolov5/tutorials/test_time_augmentation_tutorial.md: yolov5/tutorials/test_time_augmentation.md | |
| yolov5/tutorials/yolov5_test_time_augmentation_tutorial.md: yolov5/tutorials/test_time_augmentation.md | |
| yolov5/environments/yolov5_amazon_web_services_quickstart_tutorial.md: yolov5/environments/aws_quickstart_tutorial.md | |
| yolov5/environments/yolov5_google_cloud_platform_quickstart_tutorial.md: yolov5/environments/google_cloud_quickstart_tutorial.md | |
| yolov5/environments/yolov5_docker_image_quickstart_tutorial.md: yolov5/environments/docker_image_quickstart_tutorial.md | |